[1]Bugnicourt JM, Godefroy O, Chillon JM, Choukroun G, Massy ZA. Cognitive disorders and dementia in CKD: the neglected kidney-brain axis. Journal of the American Society of Nephrology: JASN 2013;24(3):353–63.
[2]Liu ZH. Nephrology in china. Nature reviews Nephrology 2013;9(9):523–8.
[3]Kurella M, Chertow GM, Luan J, Yaffe K. Cognitive impairment in chronic kidney disease. Journal of the American Geriatrics Society 2004;52(11):1863–9.
[4]Jorde R, Waterloo K, Saleh F, Haug E, Svartberg J. Neuropsychological function in relation to serum parathyroid hormone and serum 25-hydroxyvitamin D levels. The Tromso study. Journal of neurology 2006;253(4):464–70.
[5]Seifter JL, Samuels MA. Uremic encephalopathy and other brain disorders associated with renal failure. Seminars in neurology 2011;31(2):139–43.
[6]Theofilou P. Quality of life in patients undergoing hemodialysis or peritoneal dialysis treatment. Journal of clinical medicine research 2011;3(3):132–8.
[7]Lee SY, Lee HJ, Kim YK, Kim SH, Kim L, Lee MS, et al. Neurocognitive function and quality of life in relation to hematocrit levels in chronic hemodialysis patients. Journal of psychosomatic research 2004;57(1):5–10.
[8]Drueke TB, Locatelli F, Clyne N, Eckardt KU, Macdougall IC, Tsakiris D, et al. Normalization of hemoglobin level in patients with chronic kidney disease and anemia. The New England journal of medicine 2006;355(20):2071–84.
[9]Singh AK, Szczech L, Tang KL, Barnhart H, Sapp S, Wolfson M, et al. Correction of anemia with epoetin alfa in chronic kidney disease. The New England journal of medicine 2006;355(20):2085–98.
[10]Chou FF, Chen JB, Hsieh KC, Liou CW. Cognitive changes after parathyroidectomy in patients with secondary hyperparathyroidism. Surgery 2008;143(4):526–32.
[11]Kim SM, Zhao D, Schneider ALC, Korada SK, Lutsey PL, Guallar E, et al. Association of parathyroid hormone with 20-year cognitive decline: The ARIC study. Neurology 2017;89(9):918–26.
[12]Lee CB, Yu SH, Kim NY, Kim SM, Kim SR, Oh SJ, et al. Association Between Coffee Consumption and Circulating Levels of Adiponectin and Leptin. Journal of medicinal food 2017;20(11):1068–75.
[13]Pi HC, Xu YF, Xu R, Yang ZK, Qu Z, Chen YQ, et al. Cognitive Impairment and Structural Neuroimaging Abnormalities Among Patients with Chronic Kidney Disease. Kidney & blood pressure research 2016;41(6):986–96.
[14]Kuriyama N, Mizuno T, Ohshima Y, Yamada K, Ozaki E, Shigeta M, et al. Intracranial deep white matter lesions (DWLs) are associated with chronic kidney disease (CKD) and cognitive impairment: a 5-year follow-up magnetic resonance imaging (MRI) study. Archives of gerontology and geriatrics 2013;56(1):55–60.
[15]Luo S, Qi RF, Wen JQ, Zhong JH, Kong X, Liang X, et al. Abnormal Intrinsic Brain Activity Patterns in Patients with End-Stage Renal Disease Undergoing Peritoneal Dialysis: A Resting-State Functional MR Imaging Study. Radiology 2016;278(1):181–9.
[16]Kim JH, Choi NK, Kim SM. A Retrospective Study of Association between Peg-shaped Maxillary Lateral Incisors and Dental Anomalies. The Journal of clinical pediatric dentistry 2017;41(2):150–3.
[17]Kalaitzidis RG, Karasavvidou D, Tatsioni A, Balafa O, Pappas K, Spanos G, et al. Risk factors for cognitive dysfunction in CKD and hypertensive subjects. International urology and nephrology 2013;45(6):1637–46.
[18]Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nature reviews Neuroscience 2009;10(3):186–98.
[19]Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society 2005;53(4):695–9.
[20]Cui Z, Zhong S, Xu P, He Y, Gong G. PANDA: a pipeline toolbox for analyzing brain diffusion images. Frontiers in human neuroscience 2013;7:42.
[21]Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 2002;15(1):273–89.
[22]Zou L, Su L, Qi R, Bao F, Fang X, Wang L, et al. Abnormal topological organization in white matter structural networks in survivors of acute lymphoblastic leukaemia with chemotherapy treatment. Oncotarget 2017;8(36):60568–75.
[23]Zhao T, Cao M, Niu H, Zuo XN, Evans A, He Y, et al. Age-related changes in the topological organization of the white matter structural connectome across the human lifespan. Human brain mapping 2015;36(10):3777–92.
[24]Gong G, He Y, Concha L, Lebel C, Gross DW, Evans AC, et al. Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. Cerebral cortex 2009;19(3):524–36.
[25]Gong G, Rosa-Neto P, Carbonell F, Chen ZJ, He Y, Evans AC. Age- and gender-related differences in the cortical anatomical network. The Journal of neuroscience: the official journal of the Society for Neuroscience 2009;29(50):15684–93.
[26]Achard S, Bullmore E. Efficiency and cost of economical brain functional networks. PLoS computational biology 2007;3(2):e17.
[27]Siddarth P, Burggren AC, Eyre HA, Small GW, Merrill DA. Sedentary behavior associated with reduced medial temporal lobe thickness in middle-aged and older adults. PloS one 2018;13(4):e0195549.
[28]Deshpande AK, Tan L, Lu LJ, Altaye M, Holland SK. fMRI as a Preimplant Objective Tool to Predict Children’s Postimplant Auditory and Language Outcomes as Measured by Parental Observations. Journal of the American Academy of Audiology 2018;29(5):389–404.
[29]Puschmann S, Thiel CM. Changed crossmodal functional connectivity in older adults with hearing loss. Cortex; a journal devoted to the study of the nervous system and behavior 2017;86:109–22.
[30]Nilakantan AS, Voss JL, Weintraub S, Mesulam MM, Rogalski EJ. Selective verbal recognition memory impairments are associated with atrophy of the language network in non-semantic variants of primary progressive aphasia. Neuropsychologia 2017;100:10–7.
[31]Crossley NA, Mechelli A, Scott J, Carletti F, Fox PT, McGuire P, et al. The hubs of the human connectome are generally implicated in the anatomy of brain disorders. Brain: a journal of neurology 2014;137(Pt 8):2382–95.
[32]Van der Werf YD, Jolles J, Witter MP, Uylings HB. Contributions of thalamic nuclei to declarative memory functioning. Cortex; a journal devoted to the study of the nervous system and behavior 2003;39(4–5):1047–62.
[33]Smith R, Lane RD, Alkozei A, Bao J, Smith C, Sanova A, et al. Maintaining the feelings of others in working memory is associated with activation of the left anterior insula and left frontal-parietal control network. Social cognitive and affective neuroscience 2017;12(5):848–60.
[34]Heinen K, Feredoes E, Ruff CC, Driver J. Functional connectivity between prefrontal and parietal cortex drives visuo-spatial attention shifts. Neuropsychologia 2017;99:81–91.
[35]Mastroberardino S, Santangelo V, Macaluso E. Crossmodal semantic congruence can affect visuo-spatial processing and activity of the fronto-parietal attention networks. Frontiers in integrative neuroscience 2015;9:45.
[36]Raphael KL, Wei G, Greene T, Baird BC, Beddhu S. Cognitive function and the risk of death in chronic kidney disease. American journal of nephrology 2012;35(1):49–57.
[37]Giang LM, Weiner DE, Agganis BT, Scott T, Sorensen EP, Tighiouart H, et al. Cognitive function and dialysis adequacy: no clear relationship. American journal of nephrology 2011;33(1):33–8.
[38]Fazekas G, Fazekas F, Schmidt R, Flooh E, Valetitsch H, Kapeller P, et al. Pattern of cerebral blood flow and cognition in patients undergoing chronic haemodialysis treatment. Nuclear medicine communications 1996;17(7):603–8.
[39]Liang X, Wen J, Ni L, Zhong J, Qi R, Zhang LJ, et al. Altered pattern of spontaneous brain activity in the patients with end-stage renal disease: a resting-state functional MRI study with regional homogeneity analysis. PloS one 2013;8(8):e71507.
[40]Zheng G, Wen J, Zhang L, Zhong J, Liang X, Ke W, et al. Altered brain functional connectivity in hemodialysis patients with end-stage renal disease: a resting-state functional MR imaging study. Metabolic brain disease 2014;29(3):777–86.